2 research outputs found
New Method for Optimization of License Plate Recognition system with Use of Edge Detection and Connected Component
License Plate recognition plays an important role on the traffic monitoring
and parking management systems. In this paper, a fast and real time method has
been proposed which has an appropriate application to find tilt and poor
quality plates. In the proposed method, at the beginning, the image is
converted into binary mode using adaptive threshold. Then, by using some edge
detection and morphology operations, plate number location has been specified.
Finally, if the plat has tilt, its tilt is removed away. This method has been
tested on another paper data set that has different images of the background,
considering distance, and angel of view so that the correct extraction rate of
plate reached at 98.66%.Comment: 3rd IEEE International Conference on Computer and Knowledge
Engineering (ICCKE 2013), October 31 & November 1, 2013, Ferdowsi Universit
Mashha
A NOVEL OCCLUSION SIGN LANGUAGE RECOGNITION
[[abstract]]Sign language plays an important role in communicate with changers that
hearing improved. However, the sign language in many countries and areas different
and auto recognition system became the research way in recent year. In this paper, we
devise a novel method for occlusion processing in Taiwan Sign Language recognition
system. Our method employs adxl345 and Kinect to extract the feature of signer. Then
the features are regulated by the dictionary of sparse coding. In final, the HMM model
and result signs are recognized from the features that corrected by our method. In
experimental result, we present the data that our employ. Then we describe closing
test result and future work.[[sponsorship]]National Taipei University[[conferencetype]]國際[[conferencedate]]20150718~20150719[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Tokyo, Japa